Evidence map›Paper›PMID 29282656›Full record

ReviewVirus genes2018

Utility of high-throughput DNA sequencing in the study of the human papillomaviruses.

Noé Escobar-Escamilla, José Ernesto Ramírez-González, Graciela Castro-Escarpulli, José Alberto Díaz-Quiñonez

Abstract readReview
PubMed Publisher
In one paragraph

Review in Virus genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Noé Escobar-EscamillaEscuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City, Mexico.
José Ernesto Ramírez-GonzálezInstituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico.
Graciela Castro-EscarpulliEscuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City, Mexico. chelacastro@hotmail.com.ORCID http://orcid.org/0000-0002-7496-8247
José Alberto Díaz-QuiñonezInstituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico.
Secretaria de Salud · MXInstituto Politécnico Nacional · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Papillomaviridae family is probably the most diverse group of viruses that affect vertebrates. The study of the relationship between infection by certain types of human papillomavirus (HPV) and the development of neoplastic epithelial lesions is of particular interest because of the high prevalence of HPV-related carcinomas in populations of developing countries. To understand the mechanisms of infection and their association with different clinical manifestations, molecular tools play an important role in the description of new types of HPV, the characterization of effector properties of the viral factors, the specific diagnosis and monitoring of HPV types, and the alteration patterns at genetic level in the host. Technological advances in the field of DNA sequencing have led to the development of different next-generation sequencing systems, allowing obtaining a large amount of data and broadening the applications to study viral diseases. In this review, we summarize the main approaches and their perspectives where the use of massively parallel sequencing has been proved as a useful tool in the research of the HPV infection.

Indexed as

High-Throughput Nucleotide SequencingDNA, ViralHumansPapillomaviridaePapillomavirus InfectionsVirologyDNA, ViralHuman papillomavirusMolecular characterizationNext-generation sequencing

Identifiers

PMID29282656
OpenAlexW2781061451

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.